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Ashish Gupta

DevOps Engineer

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates14 yrs 9 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in building large-scale recommendation systems.
  • Led complex cross-functional projects impacting thousands of developers.
  • Strong background in machine learning and data analysis.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in recommendation systems and data-driven solutions.

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Skills

Core Skills

Machine LearningData ScienceTechnical LeadershipSoftware Development

Other Skills

Deep LearningMachine Learning AlgorithmsData PipelinesGraph Neural NetworksRepresentation LearningProject ManagementData AnalysisPrototypingSoftware ArchitectureArtificial Intelligence (AI)Computer ScienceData StructuresAlgorithmsDesign PatternsWeb Services

About

Experienced ML Engineer with a strong background in building Recommendation Systems and large-scale distributed systems.

Experience

14 yrs 9 mos
Total Experience
2 yrs 5 mos
Average Tenure
2 yrs 6 mos
Current Experience

Analog ai

Senior Research Engineer

Nov 2023Present · 2 yrs 6 mos · Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates · On-site

Meta

Staff Machine Learning Engineer

Aug 2020Sep 2023 · 3 yrs 1 mo · London, England, United Kingdom · On-site

  • Tech Lead in Meta’s AI Innovation team focusing on building modern recommendation systems for Facebook & Instagram Reels and Feed Ranking usecases.
  • Developed and implemented user-understanding technologies and ML models to address key challenges in reel ranking and candidate retrieval.
  • Created social interaction graph (∼3B nodes and ∼300B edges), trained and experimented with different architectures of GNNs (GIN, GAT etc.) to understand user behavior and leveraged transfer learning to improve recommendations.
  • Experienced in recommendations stack (candidate retrieval & ranking), training and shipping deep learning models (GNN etc.), data pipelines, offline and online evaluations.
  • Worked with research intern to leverage representation learning to solve cold start user problem in Recommendation Systems. Published paper to demonstrate that its possible to tackle cold-start problem without meta-learning techniques
  • Led a complex cross function heavy ads project for Facebook’s ad surfaces. The scope of the change included 6 teams and 20 ad surfaces. The breaking change in the 12 graph-APIs was impacting ∼100k external developers.
Data ScienceDeep LearningMachine Learning

Flipkart

Senior Software Development Engineer

Jul 2017Aug 2020 · 3 yrs 1 mo · Bengaluru Area, India

  • Leveraged machine learning capabilities to predict customer anxiety in the event of delayed order delivery, and initiate proactive actions to improve customer experience.
  • Led a team responsible for the post-order customer experience, including the order confirmation and order details APIs (scale of ∼15k peak QPS)

Io-tahoe

Senior Software Engineer

May 2015Jul 2017 · 2 yrs 2 mos · Bengaluru Area, India

  • Developed an ML classification model for a data-discovery software system for discovering information in data, as well as finding relationships among multiple databases with up to 90%+ accuracy.
  • Contributed to the rapid prototyping, conceptualization, and development of ToFrom, a travel platform that allows users to search, book, and pay for flights and hotels. Was responsible for the the end-to-end development of flights module.

Makemytrip.com

Senior Software Engineer

Dec 2013May 2015 · 1 yr 5 mos · Gurgaon, India

Mphasis

Software Engineer

Jun 2011Dec 2013 · 2 yrs 6 mos · Pune Area, India

Education

Georgia Institute of Technology

Master of Science (M.S.) — Machine Learning

Indian Institute of Technology, Roorkee

Bachelor of Technology (B.Tech.)

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